Evaluation method and system based on disease diagnosis related groups

Abstract

The invention provides an evaluation method and system based on disease diagnosis related groups, and the method comprises the steps: firstly uploading medical diagnosis data, enabling cases with thesimilar complexity and cost of a disease to be divided into the same group, and completing the disease diagnosis related groups DRGs; carrying out corresponding query judgement and information analysis according to the requirements of managers; and evaluating hospitals, departments or doctors according to analysis results. According to the DRGs-based evaluation method provided by the invention, classification analysis and preview are performed on specified diseases according to a specific method, so a function of summarizing basic conditions of a certain specified disease is realized, a function of grouping the certain specified disease according to the DRGs and displaying grouping conditions is realized, and a DRGS quality related index and a DRGS cost related index of a certain specifieddisease are analyzed. The method is also helpful to motivate hospitals to enhance medical quality management, force the hospitals to actively reduce cost, shorten hospitalization days and reduce inductive medical expense payment in order to obtain profits, and is beneficial to expense control.

Description

technical field [0001] The present invention relates to the field of big data technology, in particular to an evaluation method and system based on grouping related to disease diagnosis. Background technique [0002] Diagnosis-related Groups are a method of categorizing and grouping hospitalized patients. That is, according to factors such as age, disease diagnosis, comorbidities, complications, treatment methods, disease severity and outcome, and resource consumption, patients are divided into several diagnostic groups for management. At present, each department of the hospital will generate a large amount of medical diagnosis data and corresponding cost data every day, but it is currently impossible to effectively analyze these diagnosis data and cost data, and it is difficult to accurately reflect the cost structure of medical services. Therefore, in order to encourage hospitals to strengthen medical quality management and build a hospital inpatient performance evaluatio...

AI Technical Summary

Problems solved by technology

At present, each department of the hospital will generate a large amount of medical diagnosis data and corresponding cost data every day, but it is currently impossible to effectively analyze these diagnostic data and cost data, and it is difficult to accurately reflect the cost structure of medical services

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